Results 81 to 90 of about 92,772 (328)
Fast Skyline Community Search in Multi-Valued Networks
Community search has been extensively studied in large networks, such as Protein-Protein Interaction (PPI) networks, citation graphs, and collaboration networks.
Dongxiao Yu +5 more
doaj +1 more source
Objective We evaluated the role of 25‐hydroxyvitamin D (25[OH]D), prednisone, and other risk factors for bone mineral density (BMD) loss and osteoporosis in systemic lupus erythematosus (SLE). Methods We calculated the association between 25(OH)D levels and other potential risk factors and BMD measures (spine T scores) and osteoporosis (defined as a T ...
Nima Madanchi +4 more
wiley +1 more source
Objective We examined whether 18 months of strength training in individuals with knee varus alignment and medial tibiofemoral osteoarthritis (OA) reduced knee joint loads during walking compared to an attention control group. Methods This study was a secondary analysis of a randomized clinical trial that compared the effects of strength training to a ...
Stephen P. Messier +12 more
wiley +1 more source
Representaciones urbanas contemporáneas
El presente texto pretende mostrar la importancia de la cultura visual en la transformación de las ciudades contemporáneas al tiempo que pone de manifiesto la homogeneización urbana global que se viene produciendo en ellas fruto del poder económico ...
Víctor Franco
doaj
Skyline queries which return objects that are not dominated by any other objects, have been integrated into various real-world database applications. However, the presence of incomplete data in databases, may lead into cyclic dominance relation that none
Zhang Xiaowei +4 more
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Continuous Probabilistic Skyline Queries for Uncertain Moving Objects in Road Network
In moving environment, the positions of moving objects cannot be located accurately. Apart from the measuring instrument errors, movement of the objects is the main factor contributing to this uncertainty.
Shanliang Pan +3 more
doaj +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
The method of quick satellite aiming with 3-Steps on the mobile satellite station
The study analyses and concludes the technology of the satellite aiming during real-time broadcast of mobile video.We conclude a method of quick satellite aiming with 3-steps according to practical exercises and users' requirement to meet situation of ...
Sheng Liang, Li Zhenmin, Su Jiong
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Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera +8 more
wiley +1 more source

